Launched during the Dubai Expo 2020, the Hackaton aims at designing effective solutions based on machine learning and data science supporting the medical doctor to formulate a Covid-19 prognosis from early chest X-ray images and clinical data collected during triage.

A prize will be awarded for the approach with the highest level of explainability.

A team of three XAI PhD students is joining the competition:

• Giovanni Camarda
• Eleonora Cappuccio
• Andrea Rafanelli

Important Dates

• Jan. 27 – Registration opens
• Feb. 01 – Hackathon opening event at Dubai EXPO
• Feb. 15 – Results submission opens
• Mar. 01 – Final day for results submission
• Mar. 03 – Final day for the submission of the solution description (max 2 pages)
• Mar. 10 – Hackathon closing event with announcement of winners and prizes